Low Risk

ossf_scorecard_trend_analyzer

As a CTO, analyze OSSF Scorecard trends for your top 10-50 dependencies to identify security regressions or deteriorating project health. Input GitHub repository names (owner/repo), get structured trend data including score deltas, check failures, and risk flags. Uses OSSF Scorecard API and GitHu...

Part of the Gapup Mcp server.

ossf_scorecard_trend_analyzer is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call ossf_scorecard_trend_analyzer to retrieve information from Gapup Mcp without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though ossf_scorecard_trend_analyzer only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ossf_scorecard_trend_analyzer": {}
  }
}

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Get this rule live on your own Gapup Mcp server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access ossf_scorecard_trend_analyzer gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so ossf_scorecard_trend_analyzer only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the ossf_scorecard_trend_analyzer tool do? +

As a CTO, analyze OSSF Scorecard trends for your top 10-50 dependencies to identify security regressions or deteriorating project health. Input GitHub repository names (owner/repo), get structured trend data including score deltas, check failures, and risk flags. Uses OSSF Scorecard API and GitHub Archive for historical context. Ideal for proactive dependency management and risk assessment.. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ossf_scorecard_trend_analyzer? +

Register the Gapup MCP server in PolicyLayer and add a rule for ossf_scorecard_trend_analyzer: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Gapup Mcp. Nothing to install.

What risk level is ossf_scorecard_trend_analyzer? +

ossf_scorecard_trend_analyzer is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit ossf_scorecard_trend_analyzer? +

Yes. Add a rate_limit block to the ossf_scorecard_trend_analyzer rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block ossf_scorecard_trend_analyzer completely? +

Set action: deny in the PolicyLayer policy for ossf_scorecard_trend_analyzer. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides ossf_scorecard_trend_analyzer? +

ossf_scorecard_trend_analyzer is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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